Bioinformatics Associate 3
Bioinformatics Associate 3
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Salary Not Disclosed
1 Vacancy
Job Description
Our client a world leader in diagnostics and life sciences is looking for an "Bioinformatics Associate 3 based out of South San Francisco CA.
Hybrid Role 2 days onsite
Company Benefits: Medical Dental Vision Paid Sick leave 401K
Job Description:
- Pipeline Development: Design develop test and optimize automated bioinformatics pipelines for the processing and analysis of diverse sequencing data.
- Data Analysis: Perform advanced statistical and computational analyses of genomics data including variant calling differential gene expression pathway analysis genomic annotation and custom analyses tailored to research questions.
- Scripting & Programming: Write efficient well-documented and reproducible code primarily in Python or R for data cleaning transformation integration and visualization.
- Algorithm Implementation: Evaluate implement and adapt existing bioinformatics tools and algorithms as well as contribute to the development of novel methods.
- Collaboration: Work collaboratively with wet-lab scientists to understand experimental designs troubleshoot data quality issues and interpret biological findings.
- Troubleshooting & Optimization: Identify and resolve technical issues within pipelines and analyses optimize computational efficiency and ensure data integrity.
- Training in Bioinformatics Computational Biology Genomics Genetics Computer Science or a related quantitative field.
- Proven strong programming skills in either Python or R is essential. (Please specify which language you are most proficient in and provide examples of your work if possible).
- Solid understanding of next-generation sequencing (NGS) data types experimental design and common bioinformatics analysis workflows.
- Experience with biological databases and public data repositories (e.g. NCBI Ensembl UCSC Genome Browser TCGA GTEx). Familiarity with version control systems (e.g. Git).
- Experience with cloud computing platforms (e.g. AWS GCP Azure) and containerization (e.g. Docker Singularity).
- Proficiency with workflow management systems (e.g. Snakemake Nextflow Cromwell/WDL).
- Experience with statistical modeling and machine learning techniques applied to biological data.
- Knowledge of specific sequencing applications relevant to our research (e.g. single-cell genomics long-read sequencing epigenomics).
- Experience working in a Linux/Unix environment. Familiarity with high-performance computing (HPC) clusters.
If interested please send us your updated resume at
Bioinformatics Associate 3
Education
Bachelors'
Employment Type
Full Time
